Cloud model-based evaluation of landslide dam development feasibility.

As natural backwater structures, landslide dams both threaten downstream human settlement or infrastructure and contain abundant hydro-energy and tourism resources, so research on their development feasibility is of great significance for permanently remedying them and effectively turning disasters...

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Autores principales:	Dengze Luo, Hongtao Li, Yu Wu, Dong Li, Xingguo Yang, Qiang Yao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/397ec152323a4abb96c2afb9d2cbb3f9
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spelling	oai:doaj.org-article:397ec152323a4abb96c2afb9d2cbb3f92021-12-02T20:05:40ZCloud model-based evaluation of landslide dam development feasibility.1932-620310.1371/journal.pone.0251212https://doaj.org/article/397ec152323a4abb96c2afb9d2cbb3f92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251212https://doaj.org/toc/1932-6203As natural backwater structures, landslide dams both threaten downstream human settlement or infrastructure and contain abundant hydro-energy and tourism resources, so research on their development feasibility is of great significance for permanently remedying them and effectively turning disasters into benefits. Through an analysis of the factors influencing landslide dam development and utilization, an index system (consisting of target, rule, and index layers) for evaluating development feasibility was constructed in this paper. Considering uncertainty and randomness in development feasibility evaluation, a cloud model-improved evaluation method was proposed to determine membership and score clouds based on the uncertainty reasoning of cloud model, and a cloud model-improved analytic hierarchy process (AHP-Cloud Model) was introduced to obtain weights. Final evaluation results were obtained using a hierarchical weighted summary. The improved method was applied to evaluate the Hongshiyan and Tangjiashan landslide dams and the results were compared with the maximum membership principle results. The results showed that the cloud model depicted the fuzziness and uncertainty in the evaluation process. The improved method proposed in this paper overcame the loss of fuzziness in the maximum membership principle evaluation results, and was capable of more directly presenting evaluation results. The development feasibility of the Hongshiyan landslide dam was relatively high, while that of the Tangjiashan landslide dam was relatively low. As suggested by these results, the evaluation model proposed in this paper has great significance for preparing a long-term management scheme for landslide dams.Dengze LuoHongtao LiYu WuDong LiXingguo YangQiang YaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251212 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dengze Luo Hongtao Li Yu Wu Dong Li Xingguo Yang Qiang Yao Cloud model-based evaluation of landslide dam development feasibility.
description	As natural backwater structures, landslide dams both threaten downstream human settlement or infrastructure and contain abundant hydro-energy and tourism resources, so research on their development feasibility is of great significance for permanently remedying them and effectively turning disasters into benefits. Through an analysis of the factors influencing landslide dam development and utilization, an index system (consisting of target, rule, and index layers) for evaluating development feasibility was constructed in this paper. Considering uncertainty and randomness in development feasibility evaluation, a cloud model-improved evaluation method was proposed to determine membership and score clouds based on the uncertainty reasoning of cloud model, and a cloud model-improved analytic hierarchy process (AHP-Cloud Model) was introduced to obtain weights. Final evaluation results were obtained using a hierarchical weighted summary. The improved method was applied to evaluate the Hongshiyan and Tangjiashan landslide dams and the results were compared with the maximum membership principle results. The results showed that the cloud model depicted the fuzziness and uncertainty in the evaluation process. The improved method proposed in this paper overcame the loss of fuzziness in the maximum membership principle evaluation results, and was capable of more directly presenting evaluation results. The development feasibility of the Hongshiyan landslide dam was relatively high, while that of the Tangjiashan landslide dam was relatively low. As suggested by these results, the evaluation model proposed in this paper has great significance for preparing a long-term management scheme for landslide dams.
format	article
author	Dengze Luo Hongtao Li Yu Wu Dong Li Xingguo Yang Qiang Yao
author_facet	Dengze Luo Hongtao Li Yu Wu Dong Li Xingguo Yang Qiang Yao
author_sort	Dengze Luo
title	Cloud model-based evaluation of landslide dam development feasibility.
title_short	Cloud model-based evaluation of landslide dam development feasibility.
title_full	Cloud model-based evaluation of landslide dam development feasibility.
title_fullStr	Cloud model-based evaluation of landslide dam development feasibility.
title_full_unstemmed	Cloud model-based evaluation of landslide dam development feasibility.
title_sort	cloud model-based evaluation of landslide dam development feasibility.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/397ec152323a4abb96c2afb9d2cbb3f9
work_keys_str_mv	AT dengzeluo cloudmodelbasedevaluationoflandslidedamdevelopmentfeasibility AT hongtaoli cloudmodelbasedevaluationoflandslidedamdevelopmentfeasibility AT yuwu cloudmodelbasedevaluationoflandslidedamdevelopmentfeasibility AT dongli cloudmodelbasedevaluationoflandslidedamdevelopmentfeasibility AT xingguoyang cloudmodelbasedevaluationoflandslidedamdevelopmentfeasibility AT qiangyao cloudmodelbasedevaluationoflandslidedamdevelopmentfeasibility
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Cloud model-based evaluation of landslide dam development feasibility.

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